

Find out in this report how the two Cloud Cost Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I have seen a return on investment, and the ROI was visible within a few months through cloud cost reduction alone.
The ROI was visible within a few months through cloud cost reduction alone.
CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills.
With 20 reports every month, that's 80 hours saved, equating to two man-weeks per month, or $8,000 in savings based on a $100 hourly rate for my architect.
We suggested they proceed with CoreStack, and after onboarding it to our offering, within three months, we received positive feedback from customers that we were able to reduce some of their costs.
It generates value addition on top of the Trusted Advisor report, which saves major effort for our resources.
I would rate the customer support 10 out of 10.
The governance and security of CAST AI are solid, providing sufficient visibility into cluster changes and optimization actions.
Response times are reasonable and the team is knowledgeable.
CoreStack has positively impacted my organization by saving hours of time for reporting—for example, the governance report which my employees used to take at least four hours for one customer.
I have interacted with CoreStack's customer support, and we managed to obtain a technical demo from their team for my team from time to time.
It is a SaaS platform that will scale automatically.
CAST AI's scalability is very good; it scales effectively with cluster growth and increasing workload complexity.
It scales effectively with cluster growth and increasing workload complexity.
It generates and captures metrics of your workload, which meets our requirements all the time.
We haven't encountered any issues regarding scalability; the SaaS platform easily accommodates our growth.
In most cases, the optimization suggestions are practical and effective.
CAST AI has proven to be stable and reliable in production environments.
There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing.
More detailed documentation and deeper visibility into certain optimization decisions would also be helpful.
To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies.
The recommendations made in CoreStack to delete a machine have the potential to generate major cost savings.
We need more security features, particularly since the market is increasingly demanding better security tools for cloud management platforms, including cloud security posture assessments.
Adding features to automate tasks at the operations level could help provide better visibility across the cloud for our operational engineers.
In terms of pricing, I believe the pricing is reasonable because of the amount of savings and operational efficiency it delivers, making it easier to justify the investment.
I have not found the price to be too high for the features it provides.
Pricing was reasonable considering the cost savings achieved
My experience with pricing, setup cost, and licensing is that it is straightforward and has flexible pricing based on workload consumption.
I believe has been competitively priced across the market.
CAST AI has had a positive impact on my organization through cost reduction. On average, I think the savings are between 15 and 20 percent, and for certain workloads, these savings can be even higher.
CAST AI has positively impacted our organization by reducing cloud costs, improving resource utilization, and allowing our engineering team to spend less time managing infrastructure and more time on platform improvements.
With CAST AI, nodes are added or removed automatically as workloads change, helping us maintain application performance while reducing unnecessary cloud costs.
The single pane of glass for multi-cloud cost optimization helps me day-to-day by bringing a lot of operational excellence; it saves a lot of time because rather than going to each and every account or multi-cloud portal, which takes a lot of time, having everything on a single pane of glass increases efficiency, delivers results in less time, and provides clear reporting that can be shared with the customer in PDF or CSV formats.
The best features CoreStack offers are primarily the recommendations for cost optimization for RDS and EC2 machines.
For example, from AWS, it provides visibility on EBS volumes that are not being used, and it gives recommendations to delete them and save some cost.
| Product | Mindshare (%) |
|---|---|
| CAST AI | 1.6% |
| CoreStack | 1.3% |
| Other | 97.1% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 2 |
CAST AI is revered for its powerful cloud optimization capabilities, notably in cost reduction, performance enhancement, and security strengthening. It automates resource management and scales operations efficiently, leading to significant organizational improvements in efficiency, cost savings, and smoother cloud integration and management.
CoreStack offers powerful FinOps and governance capabilities, automated remediation, and cost optimization recommendations in a unified interface for multi-cloud environments, enhancing compliance and boosting cloud cost efficiency by 15%.
CoreStack's comprehensive approach to cloud management supports AWS, Azure, and GCP environments. Its features streamline cost management, tagging, and resource usage, providing crucial insights for policy management and spend tracking. By aligning governance with organizational structures and offering compliance with CIS benchmarks, CoreStack delivers detailed cost insights and optimizes billing operations. This reduces cloud spending and supports BillOps for generating customer invoices. While CoreStack excels in these areas, there's potential to improve stability, scalability, and UI responsiveness. Enhanced integration with SOAR platforms and addressing XDR console challenges would also be beneficial.
What are CoreStack's key features?In industries relying on cloud infrastructure, CoreStack proves invaluable for teams managing complex, multi-cloud environments. By integrating seamlessly with AWS, Azure, and GCP, organizations in sectors like finance, healthcare, and IT enjoy enhanced governance and FinOps capabilities, reducing costs and optimizing cloud operations.
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